AIMS AND CONTENT

LEARNING OUTCOMES

In this course the basic techniques of digital signal and image processing are presented and their application to signals and images from real domains are discussed: • Digital Image Representation and Color Spaces • Image Filtering (linear and non-linear) • Edge Detection • Image Segmentation • Texture Analysis • Mathematical Morphology • Moments and Hough Transform • Adaptive Processing, Multiscale, Data Fusion

TEACHING METHODS

Combination of traditional lectures (50 hours) and mandatory laboratory exercises (10 hours).

SYLLABUS/CONTENT

• Digital Image Representation
• Color Spaces
• Image Filtering (linear and non-linear)
• Edge detection
• Image Segmentation
• Mathematical morphology
• Moments and Hough Transform
• Texture analysis

RECOMMENDED READING/BIBLIOGRAPHY

• Jhane, B., Digital Image Processing, Sprinter, Berlin, 1997 
• Dellepiane S.,  (2004), Elaborazione di immagini digitali – Materiale di supporto alle lezioni ed Esercizi. GENOVA: ECIG, ISBN: 88-7544-017-4
• Class slides can be downloaded from aulaweb. 
• Tests and solutions can be downloaded from aulaweb.

TEACHERS AND EXAM BOARD

Exam Board

SEBASTIANO SERPICO (President)

FEDERICA FERRARO

LUCA MAGGIOLO

GABRIELE MOSER

MARCO TROMBINI

SILVANA DELLEPIANE (President Substitute)

LESSONS

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

• Written test
• Laboratory exercises attendance verification

Exam schedule